System and method for automatically adjusting output power of LED therapeutic instrument

Abstract

The invention discloses an LED therapeutic instrument output power automatic adjusting system and method, and relates to the field of physiotherapy instrument control. The system comprises a detection module, a central processing module, a control module and a treatment PCBA board, and the detection module is used for detecting an optical distribution diagram in a target irradiation area; the central processing module is used for performing component division on the optical distribution diagram to obtain a focus area and a normal area, calculating the area proportion of the focus area and the normal area, and determining the target output power of the LED therapeutic apparatus based on the area proportion; and the control module is used for controlling the output power value of the treatment PCBA board according to the target output power, and by implementing the technical scheme provided by the invention, the problem that the LED treatment instrument may cause damage to normal biological tissues in the treatment process is solved.

Description

Technical Field

[0001] The present application relates to the technical field of physical therapy device control, and in particular to a system and method for automatically adjusting the output power of an LED therapeutic device. Background Art

[0002] LED therapy device is a medical device that uses light of specific wavelengths emitted by light-emitting diodes for treatment; its principle is to use LED to generate light of different wavelengths, such as red light, blue light, infrared light, etc. These lights can induce a series of photobiomodulation effects by irradiating human tissues, thereby achieving the purpose of treating diseases or alleviating symptoms.

[0003] At present, in the process of using LED therapeutic devices, the light generated by the LED will not only undergo photochemical reactions with the diseased tissue, but also react chemically with normal tissue. Therefore, during the treatment process, special covering materials are often required to shield the skin around the treatment site to prevent damage to normal biological tissue.

[0004] However, it is difficult to take into account the individual differences of different patients when making the above-mentioned special covering materials, so most of them are made using a unified shape and template, which in turn causes the irradiated area to contain more normal biological tissues, thereby causing damage to the normal biological tissues during the treatment process. Summary of the invention

[0005] In response to the problem that an LED therapeutic device may cause damage to normal biological tissue during treatment, the present application provides a system and method for automatically adjusting the output power of an LED therapeutic device.

[0006] In a first aspect, the present application provides an automatic adjustment system for the output power of an LED therapeutic device, the system comprising a detection module, a central processing module, a control module and a treatment PCBA board, wherein: The detection module is used to detect the optical distribution diagram within the target illumination area; The central processing module is used to divide the optical distribution map into components to obtain a lesion area and a normal area, calculate the area ratio of the lesion area to the normal area, and determine the target output power of the LED therapeutic device based on the area ratio; The control module is used to control the output power value of the treatment PCBA board according to the target output power.

[0007] Optionally, the central processing module further includes a data acquisition unit, a data processing unit and a data output unit, wherein: The data acquisition unit is used to acquire the diagnostic data input by the user; The data processing unit is used to perform value analysis on the diagnostic data to obtain a plurality of high-value data, wherein the plurality of high-value data include lesion location, lesion type and lesion degree; and determine the lesion center point based on the plurality of high-value data; The data output unit is used to generate the target irradiation area according to the lesion center point.

[0008] Optionally, the data processing unit is further used to construct a lesion model of the lesion tissue using the plurality of high-value data; then perform morphological judgment on the lesion model, and determine an inference algorithm for the lesion center point based on the morphological judgment result; The data output unit is further used to estimate the lesion center point of the lesion model according to the lesion center point estimation algorithm.

[0009] Optionally, the detection module is further used to detect multiple biological tissue wavelengths in the optical distribution map; The central processing module is further used to calculate a plurality of wavelength differences between a plurality of the biological tissue wavelengths; Based on the multiple wavelength differences, the multiple biological tissue wavelengths are classified to obtain the diseased area and the normal area.

[0010] Optionally, the central processing module is also used to Acquiring biological tissue information of the lesion area and the normal area; According to the biological tissue information of both, query the minimum effective power density corresponding to the lesion area and the maximum tolerable power density corresponding to the normal area from a preset power density table; The minimum effective power density is multiplied by the area ratio corresponding to the lesion area to obtain a first power density, and the maximum tolerable power density is multiplied by the area ratio corresponding to the normal area to obtain a second power density; Calculate the severity of symptoms at multiple points in the target irradiation area; The target output power is calculated based on the severity of the disease, the center point of the lesion, the first power density, and the second power density.

[0011] Optionally, the calculation of the severity of the disease at multiple regional points in the target irradiation area is specifically performed using the following formula: in, For regional points The severity of the disease, is the coordinate of the center point of the disease, is the attenuation coefficient corresponding to the diseased tissue.

[0012] Optionally, the target output power scheme is calculated based on the severity of the disease, the lesion center, the first power density, and the second power density, specifically using the following formula: Where P is the target power value, is the first power density, is the second power density, are the coordinates of the regional points, is the index function of the lesion area. When the regional point (x, y) is located in the lesion area, =1, otherwise =0; is the indicator function of the normal area. When the area point (x, y) is located in the normal area, =1, otherwise =0, L is the boundary condition of the target irradiation area.

[0013] Optionally, the central processing module is also used to Based on the severity of symptoms at the plurality of regional points, generating a symptom severity change curve for the target irradiation area; According to the symptom severity change curve, a power adjustment speed curve for adjusting the treatment PCBA board to the target output power is generated; The control module is also used to control the power adjustment speed of the treatment PCBA board according to the power adjustment speed curve.

[0014] In a second aspect, the present application provides a method for automatically adjusting the output power of an LED therapeutic device, the method being applied to the system described in any one of the first aspects, the method comprising: Detecting the optical distribution pattern within the target irradiation area; Dividing the optical distribution map into components to obtain a lesion area and a normal area; Calculating the area ratio of the lesion area to the normal area; Based on the area ratio, determining a target output power of the LED therapeutic device; According to the target output power, the output power value of the treatment PCBA board is controlled.

[0015] In a third aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, the method described in the second aspect is executed.

[0016] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. There are differences between normal tissue and lesion tissue in terms of microstructure, chemical composition, etc. These differences will lead to different optical properties such as absorption, scattering, and reflection of light. Based on this characteristic, the present application analyzes the tissue composition in the target irradiation area to determine the lesion area and the normal area. When using an LED therapeutic device to treat lesion tissue, if the light energy emitted by the LED therapeutic device is too high, it may cause damage to normal biological tissue, but at the same time, a certain amount of light energy is also required to exert a therapeutic effect. Therefore, the present application also analyzes the area ratio of the lesion area in the target irradiation area, and adjusts the maximum tolerable power density of the normal area in the target irradiation area and the minimum effective power density of the lesion area according to the area ratio. Then, according to the severity of the disease at each point in the target irradiation area, the power output value of the PCBA board is comprehensively adjusted to ensure that the lesion area receives sufficient treatment energy while reducing the degree of damage to normal tissue.

[0017] 2. Before treating the diseased tissue, this application constructs a lesion model of the diseased tissue through the patient's diagnostic data, and then uses an inference algorithm to estimate the lesion center point of the diseased tissue. Finally, using the lesion center point as a reference, the target irradiation area (the exposed area in the covering material used for treatment) is determined to further reduce the proportion of normal tissue in the irradiation area, thereby reducing damage to normal tissue. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of an automatic output power adjustment system of an LED therapeutic device provided in an embodiment of the present application.

[0020] Figure 2 It is a structural diagram of a central processing module provided in an embodiment of the present application.

[0021] Figure 3 It is a flow chart of a method for automatically adjusting the output power of an LED therapeutic device provided in an embodiment of the present application.

[0022] Explanation of the accompanying drawings: 1. Detection module; 2. Central processing module; 3. Control module; 4. PCBA board; 21. Data acquisition unit; 22. Data processing unit; 23. Data output unit. DETAILED DESCRIPTION

[0023] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0024] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0025] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0026] As a medical device that uses light energy of different wavelengths to treat diseased tissues, LED therapeutic device has many advantages such as non-invasiveness, high safety, easy operation, wide treatment range and high patient acceptance, making it one of the core devices in the medical field.

[0027] At present, LED therapeutic devices are divided into home therapeutic devices and medical therapeutic devices. Home therapeutic devices are only suitable for the treatment of several specific chronic diseases due to their limited power; while medical therapeutic devices are equipped with a more comprehensive MCU control system, which greatly improves their treatment range and treatment effect. When using medical therapeutic devices, since the light energy released by LEDs will act on both the lesion tissue and normal tissue at the same time, special covering materials are usually used to cover the normal tissue, leaving only the lesion tissue exposed for treatment to prevent damage to normal biological tissue.

[0028] However, it is difficult to take into account the individual differences of different patients when making the above-mentioned special covering materials, so most of them are made using a unified shape and template, which in turn causes the irradiated area to contain more normal biological tissues, thereby causing damage to the normal biological tissues during the treatment process.

[0029] In order to solve the above problems, the present application provides an automatic adjustment system for the output power of an LED therapeutic device, such as Figure 1 As shown, the system includes a detection module 1, a central processing module 2, a control module 3 and a treatment PCBA board 4, wherein: Detection module 1 is used to detect the optical distribution diagram in the target irradiation area; specifically: The target irradiation area is the lesion area to be treated with phototherapy. The treatment PCBA board 4 is used to pre-test the target irradiation area with LED irradiation. The detection module 1 can detect the optical distribution diagram of the target irradiation area at this time. The optical distribution diagram includes the wavelength distribution reflected by the biological tissue under the irradiation of LED light. It should be explained that different biological tissues have differences in microstructure, chemical composition, etc., and these differences will lead to different optical properties such as absorption, scattering, and reflection of light. Therefore, the distribution of biological tissues in the target irradiation area can be determined by analyzing the optical distribution diagram.

[0030] Before testing the target irradiation area, since the specifications of the covering material are fixed and the specific covering method needs to be manually judged based on experience, this may result in a higher proportion of normal tissue in the target irradiation area for treatment, while part of the lesion tissue is covered; in order to solve this problem, Figure 2 As shown, the present application also provides a structural schematic diagram of a central processing module 2, the central processing module 2 includes a data acquisition unit 21, a data processing unit 22 and a data output unit 23, wherein: A data acquisition unit 21, used to acquire diagnostic data input by a user. The data acquisition unit (21) may be a display screen capable of human-computer interaction, or may be a data acquisition interface for receiving data uploaded by other devices; The data processing unit 22 is used to perform value analysis on the diagnostic data to obtain multiple high-value data, wherein the multiple high-value data include lesion location, lesion type and lesion degree; it should be explained that this step uses principal component analysis to extract the main characteristic components in the diagnostic data and identify the data dimensions related to the key factors of phototherapy; then the support vector machine classification algorithm is used to divide the data into high-value and low-value categories according to the potential impact of the data on the phototherapy effect, and finally the data in the high-value category is used as high-value data. After obtaining multiple high-value data, the lesion center point can be determined based on the multiple high-value data; in this step, a lesion model of the lesion tissue is constructed through multiple high-value data; then based on the morphological judgment standard, the lesion model is judged in morphology, wherein the morphology of the lesion model may be any one of regular morphology, irregular morphology and complex morphology; therefore, when calculating the lesion center point of the lesion model, different calculation methods are used to ensure the accuracy of the lesion center point.

[0031] Among them, the geometric center algorithm can be used for regular shapes, that is, according to the geometric center calculation formula of various regular shapes, the lesion center point of the corresponding morphological lesion model can be obtained; for example, for circular lesions, the center of the circle is the lesion center point; for elliptical lesions, the central coordinates of the ellipse equation are the lesion center point; for rectangular lesions, the lesion center point is the intersection of the two diagonals.

[0032] The irregular shape can be treated with the centroid algorithm, which regards the lesion area as an object composed of many tiny parts, each of which has a centroid. The centroid position of the lesion tissue is determined by integrating or summing the centroids of the tiny parts in the lesion area. At this time, the centroid position is the center point of the lesion.

[0033] Complex morphology can be clustered by machine learning, specifically K-Means clustering algorithm, which divides the data points in the lesion area into different clusters, each cluster represents a lesion sub-area. Then, by calculating the center coordinates of each cluster and averaging the center coordinates of multiple clusters, the center point of the lesion can be obtained.

[0034] After determining the center point of the lesion, the data output unit 23 uses the center point of the lesion as a reference to make the blank area in the covering material for irradiation treatment overlap with the target irradiation area, thereby reducing the proportion of normal tissue in the irradiation area, thereby reducing the damage to normal tissue during the later irradiation treatment process. The central processing module 2 is also used to divide the optical distribution map into components to obtain the lesion area and the normal area, specifically: Since the optical distribution diagram reflects the reflection of LED light by biological tissue in the target irradiation area, wavelength analysis can be performed on the optical distribution diagram, and the extracted multiple wavelengths can be matched with the preset wavelength table to determine which wavelengths belong to the lesion area and which wavelengths belong to the normal area, thereby inferring the lesion area and the normal area; wherein, the preset wavelength table stores the wavelength ranges corresponding to different biological tissues under different LED light irradiation.

[0035] In a possible implementation, as the use time of the LED therapeutic device increases, the aging of the device itself is inevitable. At this time, the light generated from the treatment PCBA board 4 is inconsistent with the light set by the device, resulting in a matching error in the wavelength extracted from the optical distribution diagram in the preset wavelength table, and then the normal tissue may be mistakenly judged as the lesion tissue. In order to solve this problem, the present application detects multiple biological tissue wavelengths in the current optical distribution diagram through the detection module (1), and then calculates multiple wavelength differences between the multiple biological tissue wavelengths; it should be explained that in the actual situation, the wavelength reflected by the diseased tissue is larger than the wavelength reflected by the normal tissue, and the difference is very obvious. Based on this characteristic, the present application performs threshold judgment on the multiple wavelength differences, thereby realizing the classification of multiple biological tissue wavelengths, and then judging the biological tissue corresponding to the multiple biological tissue wavelengths. This scheme uses the material characteristics between the lesion tissue and the normal tissue to realize the division of the lesion tissue and the normal tissue, reduces the degree of dependence on the preset wavelength table, and makes the division of the lesion area and the normal area more accurate.

[0036] After identifying the normal tissue and the lesion tissue in the target irradiation area, the central processing module 2 calculates the area ratio of the lesion area to the normal area; then based on the area ratio, the target output power value of the LED therapeutic device is determined, specifically: Since the target irradiation area includes both normal areas and lesion areas, and the tolerance of normal areas with different proportions is also different, the same is true for lesion areas; therefore, the present application obtains biological tissue information of lesion areas and normal areas, and then queries the minimum effective power density corresponding to the lesion area and the maximum tolerable power density corresponding to the normal area from the preset power density table. Among them, the minimum effective power density can be understood as the minimum power density with therapeutic effect when the disease area accounts for 100%, the power density represents the light power received per unit area, and the maximum tolerable power density can be understood as the maximum power density that will cause damage when the normal area accounts for 100%. Then, due to the change of the two with the regional proportion, the minimum effective power density of the lesion area at this time does not need to reach the minimum effective power density corresponding to the 100% proportion, and the normal area is the same. Therefore, according to the regional proportion of the two, the two are reduced in proportion, that is, the minimum effective power density is multiplied by the regional proportion corresponding to the lesion area to obtain the first power density, and the maximum tolerable power density is multiplied by the regional proportion corresponding to the normal area to obtain the second power density.

[0037] Because the severity of the disease is highest at the center of the lesion in the target irradiation area, and the farther away from the center of the lesion, the lower the severity of the disease. Therefore, in order to take into account the treatment effect of the entire lesion tissue during the irradiation process, this application calculates the severity of the disease at multiple regional points in the target irradiation area; it should be explained that the target irradiation area is divided into multiple sub-regions in equal proportion. When the area of ​​a sub-region is small enough, the sub-region can be regarded as a regional point. The multiple regional points in the target irradiation area include normal regional points and diseased regional points. When calculating the severity of the disease at a regional point, this application uses the following formula: in, For regional points The severity of the disease, is the coordinate of the center point of the disease, is the attenuation coefficient corresponding to the diseased tissue.

[0038] The above formula can be understood as a Gaussian distribution function. The Gaussian distribution function can simulate the law of field strength generated by a point source, that is, it decays according to a certain law as the distance increases, and the pathological law of the lesion tissue shows a trend of spreading outward from the center of the lesion, which is very consistent with the characteristics of the high-speed distribution function. In addition, by setting the attenuation coefficient corresponding to the diseased tissue, the above formula is closer to the patient's diseased tissue. For different diseased tissues, the attenuation coefficient is also different. The attenuation coefficient is obtained from the laboratory analysis of the diseased tissue, so it has a higher reliability. It can be understood that in the above formula, For regional points The center of the disease The distance means that the farther the distance, The smaller, the closer The bigger.

[0039] After determining the severity of the disease at multiple points in the target irradiation area, in order to comprehensively consider the treatment effect of the entire disease area and reduce damage to normal tissues, the present application calculates the target output power based on the severity of the disease, the first power density at the center of the lesion, and the second power density; specifically, the following formula is used: Where P is the target power value, is the first power density, is the second power density, are the coordinates of the regional points, is the index function of the lesion area. When the regional point (x, y) is located in the lesion area, =1, otherwise =0; is the indicator function of the normal area. When the area point (x, y) is located in the normal area, =1, otherwise =0, L is the boundary condition of the target irradiation area.

[0040] In the above formula, the numerator on the right side of the formula is a weighted sum of the power density of each regional point according to the position of the center of the lesion. It should be explained that the initial value of the power density of each regional point is consistent, but the closer the lesion area is to the center of the lesion, the greater the severity of the disease, while the severity of the disease in the normal area is smaller, and the farther away from the center of the lesion, the opposite is true. This changes the power density of each regional point to make it more consistent with the lesion condition of the entire biological tissue in the target irradiation area; then divide it by the denominator on the right side of the formula to find the average. It should be explained that the value of the denominator can be understood as the total number of regional points. The above formula can accurately determine the target output power, taking into account the organizational structure of the entire diseased tissue to ensure the best treatment effect for different areas in the target irradiation area.

[0041] After obtaining the target output power, the control module 3 controls the output power value of the treatment PCBA board 4 according to the target output power.

[0042] In a possible implementation, in order to further improve the treatment effect, in the process of controlling the treatment PCBA board 4 to reach the output power value, the central processing module 2 generates a symptom severity change curve of the target irradiation area based on the symptom severity of multiple regional points; then the symptom severity change curve is converted into a power adjustment speed curve of the treatment PCBA board 4, specifically: taking the power value corresponding to the regional point with the lowest symptom severity as the starting point, the symptom severity change curve is used as the slope, and the entire power adjustment speed curve is derived from the starting point; then the control module 3 controls the power adjustment speed of the treatment PCBA board 4 according to the power adjustment speed curve, so that the lesion tissues with different symptom severity can all get sufficient treatment time to improve the overall treatment effect.

[0043] The present application also provides a method for automatically adjusting the output power of an LED therapeutic device, which is applied to an automatic adjustment system for the output power of an LED therapeutic device. Figure 3 As shown, the method includes steps S101 to S105, wherein: S101, detecting an optical distribution diagram within a target irradiation area.

[0044] S102, dividing the optical distribution map into components to obtain a lesion area and a normal area.

[0045] S103, calculating the area ratio of the lesion area to the normal area.

[0046] S104. Determine the target output power of the LED therapeutic device based on the area ratio.

[0047] S105. Control the output power value of the treatment PCBA board 4 according to the target output power.

[0048] In the several implementations provided in this application, it should be understood that the disclosed system can be implemented in other ways. For example, the system embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, indirect coupling or communication connection of devices or units, which can be electrical or other forms.

[0049] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0050] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0051] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0052] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0053] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An automatic adjustment system for output power of an LED therapeutic device, characterized in that: The system comprises a detection module (1), a central processing module (2), a control module (3) and a treatment PCBA board (4), wherein: The detection module (1) is used to detect the optical distribution pattern in the target irradiation area; The central processing module (2) is used to divide the optical distribution map into components to obtain a lesion area and a normal area, calculate the area ratio of the lesion area to the normal area, and determine the target output power of the LED therapeutic device based on the area ratio; The control module (3) is used to control the output power value of the treatment PCBA board (4) according to the target output power.

2. The system according to claim 1, characterized in that The central processing module (2) further comprises a data acquisition unit (21), a data processing unit (22) and a data output unit (23), wherein: The data acquisition unit (21) is used to acquire the diagnostic data input by the user; The data processing unit (22) is used to perform value analysis on the diagnostic data to obtain a plurality of high-value data, wherein the plurality of high-value data include lesion location, lesion type and lesion degree; and determine the lesion center point based on the plurality of high-value data; The data output unit (23) is used to generate the target irradiation area according to the lesion center point.

3. The system according to claim 2, characterized in that The data processing unit (22) is further used to construct a lesion model of the lesion tissue using the plurality of high-value data; then perform morphological judgment on the lesion model, and determine an inference algorithm for the lesion center point based on the morphological judgment result; The data output unit (23) is also used to estimate the lesion center point of the lesion model according to the lesion center point estimation algorithm.

4. The system according to claim 1, characterized in that The detection module (1) is also used to detect multiple biological tissue wavelengths in the optical distribution map; The central processing module (2) is also used to calculate a plurality of wavelength differences between a plurality of biological tissue wavelengths; Based on the multiple wavelength differences, the multiple biological tissue wavelengths are classified to obtain the diseased area and the normal area.

5. The system according to claim 2, characterized in that The central processing module (2) is also used to Acquiring biological tissue information of the lesion area and the normal area; According to the biological tissue information of both, query the minimum effective power density corresponding to the lesion area and the maximum tolerable power density corresponding to the normal area from a preset power density table; The minimum effective power density is multiplied by the area ratio corresponding to the lesion area to obtain a first power density, and the maximum tolerable power density is multiplied by the area ratio corresponding to the normal area to obtain a second power density; Calculate the severity of symptoms at multiple points in the target irradiation area; The target output power is calculated based on the severity of the disease, the center point of the lesion, the first power density, and the second power density.

6. The system according to claim 5, characterized in that The calculation of the severity of the disease at multiple points in the target irradiation area is specifically performed using the following formula: in, For regional points The severity of the disease, is the coordinate of the center point of the disease, is the attenuation coefficient corresponding to the diseased tissue.

7. The system according to claim 6, characterized in that The target output power scheme is calculated based on the severity of the disease, the center of the lesion, the first power density, and the second power density, specifically using the following formula: Where P is the target power value, is the first power density, is the second power density, are the coordinates of the regional points, is the index function of the lesion area. When the regional point (x, y) is located in the lesion area, =1, otherwise =0; is the indicator function of the normal area. When the area point (x, y) is located in the normal area, =1, otherwise =0, L is the boundary condition of the target irradiation area.

8. The system according to claim 5, characterized in that The central processing module (2) is also used to Based on the severity of symptoms at the plurality of regional points, generating a symptom severity change curve for the target irradiation area; According to the symptom severity change curve, a power adjustment speed curve for adjusting the treatment PCBA board (4) to the target output power is generated; The control module (3) is further used to control the power adjustment speed of the treatment PCBA board (4) according to the power adjustment speed curve.

9. A method for automatically adjusting the output power of an LED therapeutic device, characterized in that: The method is applied to the system according to claims 1 to 8, and the method comprises: Detecting the optical distribution pattern within the target irradiation area; Dividing the optical distribution map into components to obtain a lesion area and a normal area; Calculating the area ratio of the lesion area to the normal area; Based on the area ratio, determining a target output power of the LED therapeutic device; According to the target output power, the output power value of the treatment PCBA board (4) is controlled.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, an application program of the method according to claim 9 is executed.

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